Screenshot MCP Server
An MCP server that provides screen - capturing functionality, supporting AI tools to capture and process screen content.
rating : 2.5 points
downloads : 24
What is the Screenshot MCP Server?
The Screenshot MCP Server is a powerful tool that allows AI assistants to better understand and analyze the user's current operating environment by capturing the user's screen content.How to use the Screenshot MCP Server?
Users can easily take screenshots and transmit them to AI tools for further processing through simple command - line operations or API interface calls.Applicable Scenarios
It is suitable for scenarios that require real - time monitoring of the user's screen status, such as remote technical support, automated testing, and educational tutoring.Main Features
Full - screen ScreenshotSupports capturing images of the entire screen or a specified area.
JPEG CompressionAutomatically compresses screenshots in high - quality JPEG format to reduce file size for easy transmission.
Base64 EncodingConverts image data into Base64 encoding format to ensure reliable data transfer.
Multiple Transmission ModesSupports two transmission modes: standard input/output (stdio) and SSE.
Customizable Quality SettingsUsers can adjust image compression quality and optimization options.
Advantages and Limitations
Advantages
Efficient and convenient screen - capturing function
Supports multi - platform operation
High - quality image compression ability
Flexible choice of transmission methods
Limitations
Requires a relatively high Python version support
Dependence on specific libraries may affect cross - platform compatibility
Advanced functions require a certain technical foundation
How to Use
Install the Server
Clone the repository via Git and install dependencies using the UV tool.
Start the Server
Run the server to listen for client requests.
Get a Screenshot
Execute the screenshot task through the command line or API call.
Usage Examples
Example 1: Remote Technical SupportTechnical staff can obtain the customer's screen status through the Screenshot MCP Server to quickly locate problems.
Example 2: Automated TestingUse the Screenshot MCP Server to verify interface elements in the automated testing process.
Frequently Asked Questions
How to install the Screenshot MCP Server?
Does it support the Windows system?
How to switch the transmission mode?
Related Resources
GitHub Repository
Project source code and documentation
Official Documentation
Detailed user manual and technical guide
Demo Video
Quickly learn how to use the Screenshot MCP Server
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points